Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Pinot
Score 9.0 out of 10
N/A
Apache Pinot is an open-source realtime distributed OLAP datastore, designed to answer OLAP queries with low latency.
$0
H2 Database
Score 8.0 out of 10
N/A
H2 Database Engine is an open source, embeddable database management system (RDMS) written in Java.N/A
OctoML
Score 0.0 out of 10
N/A
OctoML offers an acceleration platform that helps engineering teams deploy machine learning models on any hardware, cloud provider, or edge device quickly. The platform, Octomizer, is built on top of the open-source Apache TVM compiler framework project. It supports a wide variety of machine learning frameworks like PyTorch, TensorFlow, and ONNX serialized models as well as hardware backends like NVIDIA/CUDA, x86, AMD, ARM, Intel, MIPS, and more. It changes how developers optimize…N/A
Pricing
Apache PinotH2 Database EngineOctoML
Editions & Modules
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Offerings
Pricing Offerings
Apache PinotH2 DatabaseOctoML
Free Trial
NoNoNo
Free/Freemium Version
YesNoNo
Premium Consulting/Integration Services
NoNoNo
Entry-level Setup FeeNo setup feeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Apache PinotH2 Database EngineOctoML
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Apache PinotH2 Database EngineOctoML
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User Ratings
Apache PinotH2 Database EngineOctoML
Likelihood to Recommend
-
(0 ratings)
8.0
(2 ratings)
-
(0 ratings)
User Testimonials
Apache PinotH2 Database EngineOctoML
Likelihood to Recommend
Open Source
No answers on this topic
Open Source
For running application tests it's well suited. H2 [Database Engine] can replace the real-world database solution for them easily and removes the requirement to set up a a separate database instance just for running unit tests. For using in actual production application one needs to consider scale. H2 is suitable if application runs in single instance and database is located in same machine as a file where that application runs. This means the application shouldn't have a large user base. However it's easy to switch to an actual MySQL instance if the need arises, it's most likely only a configuration change and doesn't require new code.
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OctoML.AI
No answers on this topic
Pros
Open Source
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Open Source
  • Can run as an in-memory database.
  • Simple and quick to get started with, and is light weight (only 2MB).
  • SQL compliant so it compatible with most relational databases.
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OctoML.AI
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Cons
Open Source
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Open Source
  • There's a warning in official FAQ "Is it Reliable?"-section which makes it seem like H2 is not yet a mature product.
  • If raw SQL queries are used there maybe be differences between MySQL & H2. ORM library should be used.
  • Support seems to be community-based only.
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OctoML.AI
No answers on this topic
Alternatives Considered
Open Source
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Open Source
While both can run as an in-memory database, H2 Database Engine was just so much easier for us to use since we primarily use the Java stack and H2 Database Engine is also built with Java.
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OctoML.AI
No answers on this topic
Return on Investment
Open Source
No answers on this topic
Open Source
  • Doesn't take time from developers, once it's configs are set up for testing it works in everyone's development environments
  • Easy to integrate in application, no need to setup separate database software, no maintenance
  • No need to deal with infrastructure related issues/costs - database runs in same machine as the application that uses it.
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OctoML.AI
No answers on this topic
ScreenShots